An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 47 49 Method 2 52 54 Type of Ride Screaming Demon Log Flume 50 49 42 45 55 46 51 42 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Mean F p-value Freedom Square Factor A 27 1 27 2.7 .15 Factor B 22 2 11 1.1 .37 Interaction 184 2 92 9.2 .01 Error 60.00 6 10 Total 293 11
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 47 49 Method 2 52 54 Type of Ride Screaming Demon Log Flume 50 49 42 45 55 46 51 42 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Mean F p-value Freedom Square Factor A 27 1 27 2.7 .15 Factor B 22 2 11 1.1 .37 Interaction 184 2 92 9.2 .01 Error 60.00 6 10 Total 293 11
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Related questions
Question

Transcribed Image Text:An amusement park studied methods for decreasing the waiting time (minutes) for rides by
loading and unloading riders more efficiently. Two alternative loading/unloading methods have
been proposed. To account for potential differences due to the type of ride and the possible
interaction between the method of loading and unloading and the type of ride, a factorial
experiment was designed. Use the following data to test for any significant effect due to the
loading and unloading method, the type of ride, and interaction. Use α = .05. Factor A is method
of loading and unloading; Factor B is the type of ride.
Roller Coaster
Method 1
47
49
Method 2
52
54
Type of Ride
Screaming Demon
Log Flume
50
49
42
45
55
46
51
42
Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if
necessary).
Source of
Variation
Sum of
Squares
Degrees of
Mean
F
p-value
Freedom
Square
Factor A
27
1
27
2.7
.15
Factor B
22
2
11
1.1
.37
Interaction
184
2
92
9.2
.01
Error
60.00
6
10
Total
293
11
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